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Remote Google Machine Learning Engineer Jobs in Maryland

Ex Parte, Inc

Lead Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

We are applying artificial intelligence, machine learning, and natural language processing to ... You'll work with a cross-functional team of engineers to contribute to our data platform. The role ...

Fuse Engineering LLC

Software Engineer

Annapolis, MD · On-site +1

Software engineer to maintain and expand a Java based machine learning model-building system. The ideal candidate would be able to deploy the application in Kubernetes environment and independently ...

Fuse Engineering LLC

Software Engineer

MD · On-site +1

Description Software engineer to maintain and expand a Java based machine learning model-building system. The ideal candidate would be able to deploy the application in Kubernetes environment and ...

Fuse Engineering LLC

Software Engineer

MD · On-site +1

Description Software engineer to maintain and expand a Java based machine learning model-building system. The ideal candidate would be able to deploy the application in Kubernetes environment and ...

Ex Parte, Inc

Senior Data Engineer

Bethesda, MD · On-site +1

$113K - $153K/yr

We are applying artificial intelligence, machine learning, and natural language processing to ... You'll work with a cross-functional team of engineers to contribute to our data platform. The role ...

CSAA

Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 ... platforms, machine learning workloads, cloud infrastructure, and data integrations. * Lead root ...

Ex Parte, Inc

Data QA Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

We are is looking for talented, enthusiastic senior data engineers who share our passion for big ... We are applying artificial intelligence, machine learning, and natural language processing to ...

Booz Allen Hamilton, Inc.

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0243265 Location: Belcamp,MD,US Share job via: Share Additional ... Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ...

Booz Allen Hamilton, Inc.

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0241931 Location: Belcamp,MD,US Share job via: Share Additional ... Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ...

T Rowe Price

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

... machine learning roles. * Strong proficiency in Snowflake tech, DBT, Airflow, Python, Java ... Work Flexibility This role is eligible for full time remote work.

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All JobsGoogle Machine Learning Engineer JobsRemote Google Machine Learning Engineer JobsRemote Google Machine Learning Engineer Jobs in Maryland

Remote Google Machine Learning Engineer information

What is a remote Google machine learning engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.

What are the key skills and qualifications needed to thrive as a remote Google machine learning engineer?

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do remote Google machine learning engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.

What are the most commonly searched types of Google Machine Learning Engineer jobs in Maryland?

The most popular types of Google Machine Learning Engineer jobs in Maryland are:

What are popular job titles related to Remote Google Machine Learning Engineer jobs in Maryland?

For Remote Google Machine Learning Engineer jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Remote Google Machine Learning Engineer jobs in Maryland look for?

The top searched job categories for Remote Google Machine Learning Engineer jobs in Maryland are:

What cities in Maryland are hiring for Remote Google Machine Learning Engineer jobs?

Cities in Maryland with the most Remote Google Machine Learning Engineer job openings:

Remote Google Machine Learning Engineer jobs near you

Software Engineer 2 (Machine Learning) (TS/SCI with Poly)

SOLERITY

Fort George G Meade, MD • On-site, Remote

$275K - $282K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Job description

Description

Take the next step in your career with Solerity. As a recognized leader in providing Information Technology, Engineering Services, Program Management, and Consulting Services to the U.S. Federal Government and Intelligence Community, we deliver innovative, mission-focused solutions supporting some of the nation's most critical missions in data analytics, software engineering, and advanced technology systems.


Solerity is seeking a Software Engineer 2 (SWE2). 


ML Deployment Engineer moves video,image,speech,and text analytics (VISTA)models from research prototype to production inference services that downstream engineering teams can run in Kubernetes or similar environments. You will work individually or as part of a small research/SDK team to:

  • Collaborate cross-functionally working directly with end users to understand requirements and with researchers to align development with real-world neds.
  • Build the CI/CD and packaging around Python on NVIDIA Triton Inference Server, with TensorRT execution providers and Business Logic Scripting (BLS) in-service pipelines.
  • Tune pipelines for throughput, and support them through customer transition.
  • Review and test software components against design requirements.
  • Create comprehensive user documentation and establish deployment best practices.
  • Resolve system problem reports and contributes to system design, including hardware/software trade-offs, software reuse, infrastructure-as-code, and requirements analysis from the system level down to individual components.

Requirements

  • Top Secret Clearance with Full Scope poly
  • Bachelor's Degree in Computer Science or a related discipline. 14+ years of software engineering experience. Four (4) years of additional software development experience on comparable projects may be substituted for a bachelor's degree.
  • Strong Python experience
  • Solid understanding of DevOps practices and CI/CD pipelines
  • Intermediate/Advanced experience with containerization (Docker) container creation and performance optimization
  • Beginner/Intermediate experience with orchestration tools such as Kubernetes
  • Experience taking projects from prototype to production
  • Strong communication skills for technical and non-technical audiences
  • Self-motivated with ability to work independently and collaboratively

Preferred Qualifications/Experience

  • Software Development experience: C++, Java, GoLang, CUDA
  • Experience supporting production ML systems
  • Familiarity with ML domains: Natural Language Processing, Computer Vision, Automated Speech Recognition, or Video Processing
  • Knowledge of model formats and optimization (ONNX, TensorRT)


BENEFITS YOU'LL ENJOY:

1. Medical, dental and vision coverage

2. Health Savings Accounts and Flexible Spending Accounts for healthcare and dependent care

3. Flexible work schedule to include onsite, hybrid or remote, as dictated by position

4. 401(k) and company-funded life insurance

5. Generous Paid Time Off (PTO)

6. Tuition and training assistance

7. Financial rewards for employee referrals.

8. Pet insurance

9. Employee discount program


EMPLOYMENT OPPORTUNITIES: Solerity is committed to the range of perspectives we bring to the marketplace by being an employer dedicated to hiring a highly qualified team of professionals, providing world class services and products aimed at exceeding our customer's expectations. Solerity is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities. Solerity is a VEVRAA Federal Contractor.


APPLY TODAY!


JOB ID- 369

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